Asian Journal of Engineering, Sciences & Technology

Supervised Learning with Microsoft Azure Machine Learning Studio

Research Article 13
Asian Journal of Engineering, Sciences and Technology - Volume 12, Issue 1 2022
By Abdul Basit, Mehvish, Rizwan Munir, and Fahad Najeeb
Keywords: Machine learning, predictive analysis, data mining, classification, regression.

Artificial intelligence (AI) is becoming increasingly common nowadays. The utilization of Machine Learning (ML) algorithm bring the significant consequences and outcomes. In this paper, we used Microsoft Azure Machine Learning Studio alone with supervised learning, classification, and regression. In this regard, the UCI dataset named auto-mobile have been used. We illustrate the experimental findings that demonstrate that our model approach is better to traditional approaches. The classification and regression challenges, can be solved efficiently and effectively.

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